Metal Artifact Reduction on Chest Computed Tomography Examinations: Comparison of the Iterative Metallic Artefact Reduction Algorithm and the Monoenergetic Approach.

J Comput Assist Tomogr

From the *Department of Thoracic Imaging, Hospital Calmette, and †Department of Biostatistics, CHU Lille, Univ. Lille, Lille, France; and ‡Department of Research and Development, Siemens Healthcare, Forchheim, Germany.

Published: July 2017

Objective: The aim of the study was to compare iterative metallic artefact reduction (iMAR) and monochromatic imaging on metal artifact reduction.

Materials And Methods: Follow-up of 29 occluded pulmonary arteriovenous malformations was obtained with dual-energy computed tomography with reconstruction of averaged images using filtered back projection (group 1), iMAR (group 2), and creation of high-energy monoenergetic images (group 3). Two types of coils had been used: (a) nickel only (group A, n = 18) and (b) nickel and platinum (group B, n = 11).

Results: Compared with group 1, groups 2 and 3 images showed significant reduction in artifact severity. Compared with group 3, group 2 images showed less artifacts on subjective (artifact severity score: P = 0.0118; score of visibility of surrounding structures: P = 0.0056) and objective (artifact attenuation: P < 0.0001) analyses. In group A, there was no significant difference in artifact severity between groups 2 and 3 images (P > 0.05). In group B, metal artifacts were only significantly reduced in group 2 images.

Conclusions: Iterative metallic artefact reduction reduces metal artifacts more efficiently than monoenergetic imaging.

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Source
http://dx.doi.org/10.1097/RCT.0000000000000544DOI Listing

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